503 karma · joined August 30, 2021
A pre-AI example from the military : course reviews and performance assessments were changes to be from a set of about 70 descriptors instead of written custom. Instructors could modify them, but many didn't or did so only trivially. The system was junked in within three years because of the obvious: those giving feedback didn't own it, and those receiving feedback didn't value it.
I'd definitely be more likely to "wait it out" when considering purchases in my cart if I can see what I expect will be a temporary levy.
From my understanding, software engineers are a long away out from this still but perhaps we'll get there once the dust settles on more of these sorts of lawsuits.
May we all get to enjoy those final moments free of the need to perform on stage and express those things we truly wish to pass on to those will hear them.
One can assume the US Tech Force will perceive itself as also unfettered by those silly rules and good practices.
However, it is not alone a guarantor of quality. As someone proximate to academia its becoming obvious that many professors are beginning to throw in the towel or are sharply reducing their time verifying quality when faced with the rising tide of slop.
The window for avoiding the natural consequences of these trends feels like it is getting scarily small.
Thanks for taking the time to reply!
The time it takes to find these errors is orders of magnitude higher than checking if a citation exists as you need to both read and understand the source material.
These bad actors should be subject to a three strikes rule: the steady corrosion of knowledge is not an accident by these individuals.
I'm not sure why you think this isn't the case?